Title
3D shape reconstruction of Mooney faces
Abstract
Two-tone (ldquoMooneyrdquo) images seem to arouse vivid 3D percept of faces, both familiar and unfamiliar, despite their seemingly poor content. Recent psychological and fMRI studies suggest that this percept is guided primarily by top-down procedures in which recognition precedes reconstruction. In this paper we investigate this hypothesis from a mathematical standpoint. We show that indeed, under standard shape from shading assumptions, a Mooney image can give rise to multiple different 3D reconstructions even if reconstruction is restricted to the Mooney transition curve (the boundary curve between black and white) alone. We then use top-down reconstruction methods to recover the shape of novel faces from single Mooney images exploiting prior knowledge of the structure of at least one face of a different individual. We apply these methods to thresholded images of real faces and compare the reconstruction quality relative to reconstruction from gray level images.
Year
DOI
Venue
2008
10.1109/CVPR.2008.4587769
Anchorage, AK
Keywords
Field
DocType
curve fitting,face recognition,image reconstruction,3D shape reconstruction,Mooney faces,Mooney images,Mooney transition curve,boundary curve,fMRI study,gray level images,thresholded images
Iterative reconstruction,Surface reconstruction,Facial recognition system,Computer vision,Curve fitting,Pattern recognition,Computer science,Artificial intelligence,Face detection,Shape reconstruction,Photometric stereo,Percept
Conference
ISSN
ISBN
Citations 
1063-6919 E-ISBN : 978-1-4244-2243-2
978-1-4244-2243-2
3
PageRank 
References 
Authors
0.68
14
3
Name
Order
Citations
PageRank
Ira Kemelmacher-Shlizerman171028.03
Ronen Basri23467403.18
Boaz Nadler347133.65